Jacob Lee comments

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                                            Jacob Lee

WebLLM Example Code does not Work in Google Chrome

Ah I see - thank you! That PR should fix the example as well then.

Issue: Evaluator trace missing in experiments & dataset number off

Hey @keeksgalang, can you provide an [MRE](https://en.wikipedia.org/wiki/Minimal_reproducible_example)?

Issue: Cost showing up as 0 despite having tokens

Hi @ryanlohyr sorry for the delay - will look at this first thing tomorrow.

google-common google-genai [feature]: Context Caching

Will bring this up again with team Python - it seems like an amazing feature

google-common google-genai [feature]: Context Caching

Hey @KevinZJN, sorry for the late response! The current way to do this looks like this: https://github.com/langchain-ai/langchainjs/blob/main/libs/langchain-anthropic/src/tests/chat_models.int.test.ts#L657 I haven't verified but I think this should generally work the same way...

Node warning after langchain upgrade to 0.2.13 Possible EventTarget memory leak detected. 11 abort listeners added to [AbortSignal]. MaxListeners is 10. Use events.setMaxListeners() to increase limit

Hey @djaffer, thanks for reporting this - could you share the code that triggers this?

Node warning after langchain upgrade to 0.2.13 Possible EventTarget memory leak detected. 11 abort listeners added to [AbortSignal]. MaxListeners is 10. Use events.setMaxListeners() to increase limit

And then you pass a signal?

Node warning after langchain upgrade to 0.2.13 Possible EventTarget memory leak detected. 11 abort listeners added to [AbortSignal]. MaxListeners is 10. Use events.setMaxListeners() to increase limit

Will go live in next core release, thanks for flagging!

anthropic: `input_json_delta` tokens should not be passed to `handleLLMNewToken`

CC @bracesproul I think this is unintended

anthropic: `input_json_delta` tokens should not be passed to `handleLLMNewToken`

Keeping this open